By Daljeet Virdi (cast.app, UIUC), Dileep Pasumarthi (Microsoft Bing, UIUC), and Dickey Singh. This is an updated and edited version of the article we published here in January 2020. Natural Language Generation from Structured Data Over the past few years, rapid improvement in state-of-the-art (SOTA) general language models (BERT, GPT-2, GTP-3, XL-Net, etc. and BERT-forks like […]
Business decisions People in businesses make many decisions, ranging from high-profile decisions that define the future, to ones that define the culture, to many ad-hoc decisions that collectively contribute to how the company performs usually guided by the values it stands for. Decision Types McKinsey categorizes decisions based on risk, familiarity, and decision-making frequency. Company-defining […]
I’m here at the TechCrunch Robotics and AI conference (#TCRobotics) in Berkeley and the topic of deep fakes was being discussed at a panel. The conversation of deep fakes in 2020 US elections was interesting in a panel with Alexei Efros (UC BerKeley) and Hany Farid (Dartmouth College.) AI synthesized fake What we have been […]
Are current robotic bartenders and baristas merely vending machines? What would make them more human?
Self-supervised learning is autonomous supervised learning, and a significant challenge for the next decade.
I previously published this on Hackernoon.
Will job losses in the Autonomous Era be different? Will we create jobs like how we have in the previous industrial revolutions? Is educating people, creating UBI and jobs enough?
ML and AI paper submissions need to be made much more accessible. Everyone is talking about AI. They are using scandolous stock photos, but that is because no one can understand your research. 😉 Please do not assume math PhDs and rocket scientists as audiences. If including code and data is not possible because of […]
With success in self-driving cars, similar use cases in business become possible. Self-governing systems that can self-maintain, self-heal, self-learn, and self-improve are becoming a reality.
How Artificial Visual Perception (vision + interpretation) applies to machines, computers, and autonomous vehicles.
Human Intelligence enables humans to think, reason, decide, retain, experience, use symbols to build complex descriptions, recognize patterns, and merge concepts to form new concepts.
Inline with the traditional Halloween inspired AI, and just in time for Halloween 2017, MIT released Shelley AI a conversational and collaborative horror story generator over Twitter. Last year the Nightmare machine generated Halloween inspired images.
Becoming Internet smart instead of blaming
Amazon spent 16 to 17 billion, but what does R&D spending vs. profit, revenue and market capitalization ratios tell us?
China is searching “deep learning” 50x compared to US*
Backhoes and Artificial Intelligence
Pie charts are most widely used in business visualizations and there are people who are passionately against and enthusiastically for using pie charts. Interactive Bar Charts are an alternative.
Pervasiveness of Artificial Intelligence augmented Digital Assistants and what’s next
Qualitative Analytics bridges the gap between how business users think, compared to how machines interpret data.
Current e-commerce stores lack the one-on-one personalized experiences that shoppers expect from brands.
For Chatbots to be successful, they need to convert natural language to intent effectively, use intent to queries for backend systems.
A lot of product companies try A|B testing and give-up as it does not produce results or desired results.
We see varying degrees of personalization on a regular basis and it is essential for making products relevant to users.
Growth Marketing Strategy depends on the stage of the user with your app or service. Personalization techniques are widely used in retention, engagement, resurrection and reactivation marketing.
Deep links have provided mobile app marketers and developers improved campaigns that show meaningful and optimized content at a click of a link. They improve conversions, activations, retention, engagement and attrition-risk resurrection of churned users.
On Halloween Day, 2016, I wrote a condensed version of this blog for App Developer Magazine. It was featured and received nearly 700,000 views in just a few days. I’m reposting this on my blog below.
Subscriptions pay model is growing faster than both pay-to-download (or premium apps), and freemium (apps with non-subscription in-app purchases). App publishers should consider using auto-renewable subscriptions where applicable in their monetization strategies.
It is hard to make customers pay 99c for apps
Ad blocking and Mobile
Pokémon Go exploded seemingly overnight. The augmented reality app’s astoundingly rapid success is due, at least in part, to its mastery of “viral loop” marketing.
Your app running on a non-flying smartphone is the peripheral brain that controls and configures the drone which is a “smartphone that flies”
Basing decisions on tracked sum-total of positive and negative experiences in a product can help with growth.
Relying on demographic, geographic, technographic or psychographic segmentation alone?
Sorry, you missed the candy-crush-saga-playing 76yr old male & calculus-loving 11 year old girl.
Login Walls affect App Growth. Do you need a login? If so, what should you track? Read about delayed vs. upfront logins, guest access vs. forced password recovery, social logins, password-less logins, fingerprint readers like touch ID, and Face ID.
A look at the past, present and future of Mobile Messaging
The science and art behind growth Hacking
Ecommerce is eating the commerce world.
Mobile commerce is eating the e-commerce world.